Update gateway completions request / response format #10465
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Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
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dbczumar
commented
Nov 20, 2023
| } | ||
| created=int(time.time()), | ||
| object="text_completion", | ||
| model=config.model.name, |
There was a problem hiding this comment.
No temperature scaling to be done for AI21Labs. Range is -Inf to -Inf for AI21. We can stick with 0-2 restriction for now (it's currently 0-1) and get feedback.
dbczumar
commented
Nov 20, 2023
| @@ -21,7 +23,7 @@ async def completions(self, payload: completions.RequestPayload) -> completions. | |||
| self.check_for_model_field(payload) | |||
| key_mapping = { | |||
There was a problem hiding this comment.
No temperature scaling to be done for AI21Labs. Range is -Inf to -Inf for AI21. We can stick with 0-2 restriction for now (it's currently 0-1) and get feedback.
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
Update gateway completions request / response format
How is this PR tested?
Does this PR require documentation update?
Release Notes
Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/gateway: AI Gateway service, Gateway client APIs, third-party Gateway integrationsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes